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Direction-dependence,or anisotropy,of spatial distribution patts of vegetation is rarely explored due to neglect of this ecological phenomenon and the paucity of methods dealing with this issue.This paper proposes a new approach to anisotropy analysis of spatial distribution patts of plant populations on the basis of the data resampling technique (DRT) combined with Ripley’s L index.Using the ArcView Geographic Information System (GIS) platform,a case study was carried out by selecting the population of Pinus massoniana from a needle- and broad-leaved mixed forest community in the Heishiding Nature Reserve,Guangdong Province.Results showed that the spatial patt of the P massoniana population was typically anisotropic with different patts in different directions.The DRT was found to be an effective approach to the anisotropy analysis of spatial patts of plant populations.By employing resampling sub-datasets from the original dataset in different directions,we could overcome the difficulty in the direct use of current non-angular methods of patt analysis.